title: Alcohol industry and government revenue derived from underage drinking by Australian adolescents 2005.
abstract: OBJECTIVE
  The purpose of this study was to estimate the revenue gained from consumption of alcohol by adolescents for each beverage type for the year 2005.
  
  
  METHODS
  Secondary analysis of self-reported alcohol use in the 2005 Australian Secondary School Surveys Alcohol and Drug Use.
  
  
  METHODS
  Australia.
  
  
  RESULTS
  Over 506,000 adolescents aged between 12 and 17 years (29% of all Australian adolescents) consumed approximately 175.69 million standard drinks in 2005. The total revenue generated by the consumption of these beverages was estimated to be $218 million, of which the government received approximately $107 million or 49% in taxation revenue. Total revenue per underage drinker is estimated at $430.84 with revenue increasing with age. Males tend to spend more on spirits and beer while females spend more on pre-mixed spirits. Females aged 12-15 years spend around $121 per year (or 50% of total expenditure) on pre-mixed spirits compared to females aged 16-17 years old that spend around $257 per year (or 62% of total expenditure) on pre-mixed spirits.
  
  
  CONCLUSIONS
  The Australian government and the alcohol industry receive substantial financial benefit from the sale of alcoholic beverages to under age drinkers.
authors.affiliation: National Drug and Alcohol Research Centre, University of New South Wales, Sydney 2052 NSW, Australia. c.doran@unsw.edu.au
authors.forename: Christopher M
authors.initials: CM
authors.lastname: Doran
authors.forename: Anthony P
authors.initials: AP
authors.lastname: Shakeshaft
authors.forename: Wayne
authors.initials: W
authors.lastname: Hall
authors.forename: Dennis
authors.initials: D
authors.lastname: Petrie
mesh_terms: D000293:Adolescent; D000428:Alcohol Drinking / Q000191:economics* / Q000331:legislation & jurisprudence / Q000517:prevention & control; D000434:Alcoholic Beverages / Q000191:economics*; D001315:Australia; D002648:Child; D003132:Commerce / Q000706:statistics & numerical data; D003365:Costs and Cost Analysis; D005260:Female; D006291:Health Policy; D006801:Humans; D008297:Male; D012737:Sex Factors; D013660:Taxes